Launch offer — 25% off with code LAUNCH-25 See plans →
Microlesson · 5-min read

Miller-Orr Cash Management Model

## Miller-Orr Cash Management Model

### Core Idea

When cash flows are uncertain and stochastic (random), Baumol's deterministic model breaks down. The Miller-Orr model applies control theory to such random cash flows.

It is a control-limit model that determines the timing and size of transfers between an investment account and a cash account.

### The Three Limits

```

Cash Balance

|

H |-------- Upper Control Limit

|

|

Z |-------- Return Point

|

|

0 |-------- Lower Control Limit

```

  • h (Upper Limit): Cash ceiling
  • z (Return Point): Target cash balance after a transaction
  • 0 (Lower Limit): Cash floor

### How the Model Works

1. When cash balance hits 'h' (upper limit):

  • Transfer (h − z) to marketable securities.
  • Cash drops back to z.

2. When cash balance hits '0' (lower limit):

  • Liquidate marketable securities equal to z and move to cash.
  • Cash rises back to z.

3. When cash stays between 0 and h (in the bands (0, z) and (z, h)):

  • No transactions are made.
  • Cash fluctuates randomly.

### How the Limits Are Set

The high and low limits depend on:

  • Fixed cost per securities transaction
  • Opportunity cost of holding cash (interest forgone)
  • Degree of likely fluctuations in cash balances (variance)

These limits are designed to satisfy cash demands at the lowest possible total cost.

### Why Miller-Orr Over Baumol

FeatureBaumolMiller-Orr
Cash flow assumptionSteady, predictableRandom (stochastic)
TransactionsEqual-size, regularTriggered by limits
Control variablesOne (Q*)Three (h, z, 0)

Worked example

### Example 1

Conceptual Walkthrough: Suppose h = ₹1,00,000, z = ₹40,000, lower = ₹10,000 (illustrative).

  • Cash drifts up to ₹1,00,000 → buy ₹60,000 securities → cash = ₹40,000.
  • Cash drifts down to ₹10,000 → sell ₹30,000 securities → cash = ₹40,000.
  • Between trips, do nothing — randomness is left alone.

⚠️ Common exam mistakes

  • Stating that transfers happen at regular intervals — they happen only when limits are touched.
  • Forgetting that the lower limit is often above zero (a safety buffer).
  • Confusing 'z' (return point) with the average — z is a TARGET, not a mean.
  • Saying Miller-Orr assumes constant cash flows — it assumes RANDOM flows.
Reference:
Now that you've read this — what's next?
Move from understanding → mastery in 3 clicks. Each option below picks up from this lesson's topic.
Start 15-min diagnostic